most citedHow to Elicit Many Probabilities

101 citations · 235 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AI2013101 cited

How to Elicit Many Probabilities

Linda C. van der Gaag, Silja Renooij, Cilia L. M. Witteman +2

In building Bayesian belief networks, the elicitation of all probabilities required can be a major obstacle. We learned the extent of this often-cited observation in the constructi…

cs.AI201328 cited

Enhancing QPNs for Trade-off Resolution

Silja Renooij, Linda C. van der Gaag

Qualitative probabilistic networks have been introduced as qualitative abstractions of Bayesian belief networks. One of the major drawbacks of these qualitative networks is their c…

cs.AI201312 cited

Pivotal Pruning of Trade-offs in QPNs

Silja Renooij, Linda C. van der Gaag, Simon Parsons +1

Qualitative probabilistic networks have been designed for probabilistic reasoning in a qualitative way. Due to their coarse level of representation detail, qualitative probabilisti…

cs.AI201341 cited

Analysing Sensitivity Data from Probabilistic Networks

Linda C. van der Gaag, Silja Renooij

With the advance of efficient analytical methods for sensitivity analysis ofprobabilistic networks, the interest in the sensitivities revealed by real-life networks is rekindled. A…

cs.AI201240 cited

From Qualitative to Quantitative Probabilistic Networks

Silja Renooij, Linda C. van der Gaag

Quantification is well known to be a major obstacle in the construction of a probabilistic network, especially when relying on human experts for this purpose. The construction of a…

cs.AI201211 cited

Upgrading Ambiguous Signs in QPNs

Janneke H. Bolt, Silja Renooij, Linda C. van der Gaag

WA qualitative probabilistic network models the probabilistic relationships between its variables by means of signs. Non-monotonic influences have associated an ambiguous sign. The…